Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ran, Yingli | en_US |
dc.contributor.author | Zhang, Zhao | en_US |
dc.contributor.author | Ko, Ker-I | en_US |
dc.contributor.author | Liang, Jun | en_US |
dc.date.accessioned | 2017-04-21T06:55:47Z | - |
dc.date.available | 2017-04-21T06:55:47Z | - |
dc.date.issued | 2016-05 | en_US |
dc.identifier.issn | 1382-6905 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1007/s10878-015-9838-1 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/133401 | - |
dc.description.abstract | This paper studies approximation algorithm for the maximum weight budgeted connected set cover (MWBCSC) problem. Given an element set , a collection of sets , a weight function on , a cost function on , a connected graph (called communication graph) on vertex set , and a budget , the MWBCSC problem is to select a subcollection such that the cost , the subgraph of induced by is connected, and the total weight of elements covered by (that is ) is maximized. We present a polynomial time algorithm for this problem with a natural communication graph that has performance ratio , where is the maximum degree of graph and is the number of sets in . In particular, if every set has cost at most , the performance ratio can be improved to . | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Budgeted set cover | en_US |
dc.subject | Connected set cover | en_US |
dc.subject | Approximation algorithm | en_US |
dc.title | An approximation algorithm for maximum weight budgeted connected set cover | en_US |
dc.identifier.doi | 10.1007/s10878-015-9838-1 | en_US |
dc.identifier.journal | JOURNAL OF COMBINATORIAL OPTIMIZATION | en_US |
dc.citation.volume | 31 | en_US |
dc.citation.issue | 4 | en_US |
dc.citation.spage | 1505 | en_US |
dc.citation.epage | 1517 | en_US |
dc.contributor.department | 資訊工程學系 | zh_TW |
dc.contributor.department | Department of Computer Science | en_US |
dc.identifier.wosnumber | WOS:000373574300011 | en_US |
Appears in Collections: | Articles |